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55 lines
2.0 KiB
HTML
55 lines
2.0 KiB
HTML
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<p>Table: <code>Stadium</code></p>
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<pre>
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+---------------+---------+
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| Column Name | Type |
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+---------------+---------+
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| id | int |
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| visit_date | date |
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| people | int |
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+---------------+---------+
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visit_date is the primary key for this table.
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Each row of this table contains the visit date and visit id to the stadium with the number of people during the visit.
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No two rows will have the same visit_date, and as the id increases, the dates increase as well.
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</pre>
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<p> </p>
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<p>Write an SQL query to display the records with three or more rows with <strong>consecutive</strong> <code>id</code>'s, and the number of people is greater than or equal to 100 for each.</p>
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<p>Return the result table ordered by <code>visit_date</code> in <strong>ascending order</strong>.</p>
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<p>The query result format is in the following example.</p>
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<p> </p>
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<p><strong>Example 1:</strong></p>
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<pre>
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<strong>Input:</strong>
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Stadium table:
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+------+------------+-----------+
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| id | visit_date | people |
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+------+------------+-----------+
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| 1 | 2017-01-01 | 10 |
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| 2 | 2017-01-02 | 109 |
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| 3 | 2017-01-03 | 150 |
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| 4 | 2017-01-04 | 99 |
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| 5 | 2017-01-05 | 145 |
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| 6 | 2017-01-06 | 1455 |
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| 7 | 2017-01-07 | 199 |
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| 8 | 2017-01-09 | 188 |
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+------+------------+-----------+
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<strong>Output:</strong>
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+------+------------+-----------+
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| id | visit_date | people |
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+------+------------+-----------+
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| 5 | 2017-01-05 | 145 |
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| 6 | 2017-01-06 | 1455 |
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| 7 | 2017-01-07 | 199 |
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| 8 | 2017-01-09 | 188 |
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+------+------------+-----------+
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<strong>Explanation:</strong>
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The four rows with ids 5, 6, 7, and 8 have consecutive ids and each of them has >= 100 people attended. Note that row 8 was included even though the visit_date was not the next day after row 7.
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The rows with ids 2 and 3 are not included because we need at least three consecutive ids.
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</pre>
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